Monthly Archives: September 2013

A vast majority of organisations are vying for better quality data, as they understand the benefits attached to ensuring it is clean and valid.

However, many are still relying on short-term, tactical approaches to managing these initiatives rather than investing in governance - something that can infinitely increase the success and sustainability of data quality schemes.

Data governance provides organisations looking for better quality with the solution they need, rather than offering a quick fix.

The original approach behind 5S stems from quality improvement in manufacturing but has now been applied widely across all areas of the organisation. Fortunately for the data management sector, 5S is ideally suited to data quality improvement too: Sort, Straighten, Scrub, Standardise and Sustain.

Establishing an authoritative data management programme is essential these days but it requires a lot of work to get into such a position. With a lot of elbow grease and scrutiny – self-assessment is key here – organisations can foster a new era of innovation with data at the centre of it all.

Organisations looking to gather more insight into the behaviour of their customers can benefit from profiling, which delivers a more comprehensive understanding of what makes your target audience "tick".

There is a notable shift occurring in how organisations engage with data. As the technology and understanding of this asset changes, more and more firms are looking to experts to help them develop their strategies, so that they deliver a programme that is efficient, productive and cost-effective.

Although accurately recording data first time is important, it must be cleaned and maintained to retain its value. Preserving the integrity of data can help organisations to keep customers, enhance database analysis and vastly improve business efficiency.

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